Bayesian 2015 - 11th Bayesian Applications Workshop

Continuing in a successful tradition, the Eleventh Annual Bayesian Modeling Applications Workshop will provide an informal forum for exchange among applications practitioners, tool developers, and researchers. Submissions are solicited of real-world applications of Bayesian models and computational methods. The aim of the workshop is to foster discussion on the challenges of building applications, such as understanding and addressing stakeholder needs; integrating Bayesian models and tools into larger applications; validating models; interacting with users; constrution of models through knowledge elicitation and learning; agile model and system development strategies; and deploying and managing web-based Bayesian applications. The following list of topics is intended to be suggestive and not exhaustive:
Learning and inference with graphical models;
Data processing, transformation, fusion, visualization, of many different types of data;
Combining machine learning and elicitation of expert knowledge;
Tractable, scalable computational methods for complex models;
Parallel computing, cloud computing, distributed computing;
Recommendation systems, and link prediction under uncertainty;
Handling of missing data, incomplete data, non-identifiable parameterizations;
Data mining and knowledge discovery using social network data, mobile applications;
Geospatial and temporal reasoning;
Coping with very large, heterogeneous, unstructured data sets;
Distributing customized advertisement by features, impressions.
The workshop is not restricted to a particular vertical market or discipline. Instead, the workshop encourages inter-disciplinary collaboration and cross fertilization. Final workshop papers will be selected with the goal of fostering discussion of critical issues within the community of practice.
Submissions will be peer reviewed and papers will be published online. Authors who wish to withhold their paper from publication (either because it contains references to proprietary data, or because they wish to publish it later at a different venue) can request that only the abstract be published.
Organizers:
Kathryn Laskey (Chair), George Mason University
John Mark Agosta, C9, Inc.
Russell Almond, Florida State University
Rommel Carvalho, University of Brasilia
Feng Chen, University at Albany, State University of New York (SUNY Albany)
Paulo Costa, George Mason University
Fabio Cozman, Universidade de Sao Paulo
Marek Druzdzel, University of Pittsburgh and Bialystok University of Technology
Julia Flores, Universidad de Castilla-La Mancha
Jose Gamez, University of Castilla-La Mancha
James Jones, George Mason University
Oscar Kipersztok, Boeing
Marcelo Ladeira, University of Brasilia
Helge Langseth, Norwegian University of Science and Technology
Kathryn Laskey, George Mason University
Philippe Leray, LINA/DUKe, University of Nantes
Suzanne Mahoney, Innovative Decisions, Inc.
Ole Mengshoel, Carnegie Mellon University
Serafin Moral, University of Granada
Ann Nicholson, Monash University
Thomas Dyhre Nielsen, Aalborg University
Antonio Salmeron, University of Almería
Tomas Singliar, Amazon.com
V. Anne Smith, University of St. Andrews
Luis Enrique Sucar, INAOE
Wei Sun, George Mason University
Charles Twardy, George Mason University
Ed Wright, Haystax Technology